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过渡区提取方法综述
引用本文:刘锁兰,杨静宇. 过渡区提取方法综述[J]. 中国工程科学, 2007, 9(9): 89-96
作者姓名:刘锁兰  杨静宇
作者单位:南京理工大学计算机系,南京,210094
基金项目:国防科技应用基础研究基金
摘    要:图像分割是图像理论发展的瓶颈,过渡区是指图像中介于目标和背景之间的特殊区域,借助于过渡区的确定进行图像分割。主要介绍了过渡区提取的两大类方法:基于梯度的方法和基于非梯度的方法,并对提取效果以及存在的问题做了简要分析。

关 键 词:过渡区  提取  图像分割  梯度法  非梯度法
文章编号:1009-1742(2007)09-0089-08
收稿时间:2006-04-26
修稿时间:2006-04-26

Survey on Extraction Methods of Transition Region
Liu Suo-Lan and Yang Jing-Yu. Survey on Extraction Methods of Transition Region[J]. Engineering Science, 2007, 9(9): 89-96
Authors:Liu Suo-Lan and Yang Jing-Yu
Affiliation:Computer Science Department, Nanjing University of Science & Technology, Nanjing210094, China;Computer Science Department, Nanjing University of Science & Technology, Nanjing210094, China
Abstract:Image segmentation is treated as a key issue in image processing and machine vision, and has been the bottleneck of development. Transition region is a special region located between the object and background. Having the aid of extraction of transition region to segment image is a kind of burgeoning technology. Two kinds of methods have been introduced: methods based on gradient and methods based on non gradient. Briefly, the extracted effects and existent problem have been analyzed.
Keywords:transition region    extraction    image segmentation    gradient method    non-gradient method
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